Add to ORKGA necessary and sufficient condition for the weak convergence of partial sums of strongly mixing random sequences towards p-stable distributions is established and applied to recent work of Davis (1983) and Jakubowski and Kobus (1987).mixing stationary processes weak convergence stable distribution
In this paper, we obtain precise rates of convergence in the strong invariance principle for station...
In this paper, we obtain precise rates of convergence in the strong invariance principle for station...
In this paper, we obtain precise rates of convergence in the strong invariance principle for station...
For a strictly stationary sequence of random vectors in we study convergence of partial sum processe...
AbstractFor a strictly stationary sequence of random vectors in Rd we study convergence of partial s...
In this paper, we study the almost sure convergence for -mixing sequences of random variables. As a ...
For a strictly stationary sequence of random vectors in Rd we study convergence of partial sums proc...
Let be a stationary sequence of random variables with partial sums Sn. Necessary and sufficient cond...
Limit theorems for some non-degenerate U-statistics are established when the underlying processes sa...
AbstractA p-stable limit theorem holds for partial sums Sn of a stationary sequence, if SnBn → gμ fo...
AbstractCharacterization theorems are obtained for the possible limits in distribution of a family o...
The authors present a concise but complete exposition of the mathematical theory of stable convergen...
AbstractIf a strictly stationary sequence satisfies the strong mixing condition, then either the dis...
AbstractA distributional mixing condition is introduced for stationary sequences of random vectors t...
The aim of this paper is to provide conditions which ensure that the affinely transformed partial s...
In this paper, we obtain precise rates of convergence in the strong invariance principle for station...
In this paper, we obtain precise rates of convergence in the strong invariance principle for station...
In this paper, we obtain precise rates of convergence in the strong invariance principle for station...
For a strictly stationary sequence of random vectors in we study convergence of partial sum processe...
AbstractFor a strictly stationary sequence of random vectors in Rd we study convergence of partial s...
In this paper, we study the almost sure convergence for -mixing sequences of random variables. As a ...
For a strictly stationary sequence of random vectors in Rd we study convergence of partial sums proc...
Let be a stationary sequence of random variables with partial sums Sn. Necessary and sufficient cond...
Limit theorems for some non-degenerate U-statistics are established when the underlying processes sa...
AbstractA p-stable limit theorem holds for partial sums Sn of a stationary sequence, if SnBn → gμ fo...
AbstractCharacterization theorems are obtained for the possible limits in distribution of a family o...
The authors present a concise but complete exposition of the mathematical theory of stable convergen...
AbstractIf a strictly stationary sequence satisfies the strong mixing condition, then either the dis...
AbstractA distributional mixing condition is introduced for stationary sequences of random vectors t...
The aim of this paper is to provide conditions which ensure that the affinely transformed partial s...
In this paper, we obtain precise rates of convergence in the strong invariance principle for station...
In this paper, we obtain precise rates of convergence in the strong invariance principle for station...
In this paper, we obtain precise rates of convergence in the strong invariance principle for station...